Custom pipeline in remote repo cannot load custom model from remote repo. about transformers HOT 5 OPEN

from transformers import pipeline
from transformers import AutoModel

inDelphi_model = AutoModel.from_pretrained("ljw20180420/SX_spcas9_inDelphi", trust_remote_code=True)
pipe = pipeline(model="ljw20180420/SX_spcas9_inDelphi", trust_remote_code=True)

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/ljw/new_fold/old_desktop/CRISPR_AI/.conda/lib/python3.11/site-packages/transformers/pipelines/__init__.py", line 833, in pipeline
    targeted_task, task_options = clean_custom_task(custom_tasks[task])
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ljw/new_fold/old_desktop/CRISPR_AI/.conda/lib/python3.11/site-packages/transformers/pipelines/__init__.py", line 544, in clean_custom_task
    task_info["pt"] = tuple(getattr(transformers, c) for c in pt_class_names)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ljw/new_fold/old_desktop/CRISPR_AI/.conda/lib/python3.11/site-packages/transformers/pipelines/__init__.py", line 544, in <genexpr>
    task_info["pt"] = tuple(getattr(transformers, c) for c in pt_class_names)
                            ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ljw/new_fold/old_desktop/CRISPR_AI/.conda/lib/python3.11/site-packages/transformers/utils/import_utils.py", line 1596, in __getattr__
    raise AttributeError(f"module {self.__name__} has no attribute {name}")
AttributeError: module transformers has no attribute inDelphiModel

from inDelphi.configuration_inDelphi import inDelphiConfig
from inDelphi.modeling_inDelphi import inDelphiModel
from inDelphi.pipeline_inDelphi import inDelphiPipeline
from transformers import Trainer
from transformers.pipelines import PIPELINE_REGISTRY
from transformers import pipeline

inDelphiConfig.register_for_auto_class()
inDelphiModel.register_for_auto_class()
inDelphi_model = inDelphiModel(inDelphiConfig())

trainer = Trainer(model = inDelphi_model)
trainer.push_to_hub()

from huggingface_hub import HfApi
api = HfApi()
while True:
    try:
        api.upload_file(
            path_or_fileobj = "inDelphi/inDelphi_inertion_model.pkl",
            path_in_repo = "inDelphi_inertion_model.pkl",
            repo_id = "ljw20180420/tmp_trainer",
            repo_type = "model"
        )
        break
    except:
        print("upload failed, retry")

PIPELINE_REGISTRY.register_pipeline(
    task="predict CRISPR indel",
    pipeline_class=inDelphiPipeline,
    pt_model=inDelphiModel
)
pipe = pipeline(
    task="predict CRISPR indel",
    model="ljw20180420/tmp_trainer",
    trust_remote_code=True
)

pipe.push_to_hub("tmp_trainer")